Lili Mo

961 citations
33 papers · 694 · h-index 12

Impact in

Papers in

Lili Mo

33 papers receiving 677 citations

Peers

Lili Mo
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 220
  • Developmental Neuroscience 38
  • Physiology 127
  • Molecular Biology 351
  • Pathology and Forensic Medicine 82
Replace Soledad Galli with:
Soledad Galli Argentina
Shoshona S. Le United States
Maria L. Florez‐McClure United States
Mariko Sumi Japan
Francesca Montarolo Italy
Matthew D. Warren United States
Mark Morris United States
Yasushi Kitaoka Japan
John C. Dreixler United States
Mikiro Nawa Japan
Lili Mo relative to Soledad Galli Argentina Soledad Galli's profile →
Citations per field
00.5×3.2×
Soledad Galli · 1×
Citations per year

Countries citing papers authored by Lili Mo

Since Specialization
Citations

This map shows the geographic impact of Lili Mo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lili Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili Mo more than expected).

Fields of papers citing papers by Lili Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lili Mo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lili Mo. The network helps show where Lili Mo may publish in the future.

Co-authors

The 25 scholars most cited alongside Lili Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lili Mo Line = papers co-authored together Lili Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002241
2 2003119
3 199761
4 200541
5 199726
6 199723
7 200222
8 200722
9 201617
10 199515
11 201514
12 199612
13 20179
14 20188
15 20227
16 20237
17 20177
18 20227
19 20154
20 20164

About Lili Mo

Lili Mo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 33 papers that have together received 694 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Ion channel regulation and function (6 papers), Tracheal and airway disorders (6 papers), Pleural and Pulmonary Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Developmental Neuroscience (38 citations), Physiology (127 citations), Molecular Biology (351 citations) and Pathology and Forensic Medicine (82 citations). Lili Mo has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Norton H. Neff, Qun Ren, Maria Hadjiconstantinou, Anne‐Marie Duchemin, Erik Sundström, Richard L. Mort, David W. Melton, Birgitta Wiehager, Richard F. Cowburn and Scott R. Whittemore. Their work appears in journals such as Annals of Translational Medicine, Journal of Neurotrauma, Frontiers in Ecology and Evolution, Health & Social Work and Physiology & Behavior.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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